# Machine Learning Engineer Salary in Czechia > Median Machine Learning Engineer salary in Czechia is Kč 14.8K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook. - Canonical URL: https://www.spotsalary.com/salary/machine-learning-engineer/czechia-cz - Currency: CZK - Benchmark year: 2026 - Confidence: 50% - Outlook: Growing - Last updated: 2026-10-31T00:38:20+00:00 - Generated by: SpotSalary ## Key facts - Median (mid-level) annual salary: **Kč 14.8K** (Kč 1,237 per month before tax). - Middle 50% range (P25–P75): Kč 11.9K – Kč 17.2K. - Full range (P10–P90): Kč 9.5K – Kč 20.6K. - Experience band: 3–5 years. ## Salary by experience level | Level | Experience | P10 | P25 | Median | P75 | P90 | Base / Bonus / Equity | | --- | --- | ---: | ---: | ---: | ---: | ---: | --- | | Entry | 0–2 yrs | Kč 6.2K | Kč 7.7K | Kč 9.6K | Kč 11.2K | Kč 13.4K | 95% / 5% / 0% | | Mid | 3–5 yrs | Kč 9.5K | Kč 11.9K | Kč 14.8K | Kč 17.2K | Kč 20.6K | 88% / 8% / 4% | | Senior | 6–9 yrs | Kč 15.7K | Kč 19.6K | Kč 24.5K | Kč 28.4K | Kč 34K | 80% / 10% / 10% | | Executive | 10–15 yrs | Kč 26.7K | Kč 33.3K | Kč 41.6K | Kč 48.2K | Kč 57.7K | 65% / 15% / 20% | ## Take-home pay Tax method: top rate only. | Level | Gross | Tax | Effective rate | Net annual | Net monthly | | --- | ---: | ---: | ---: | ---: | ---: | | Entry | Kč 9,649 | n/a | n/a% | n/a | n/a | | Mid | Kč 14,844 | n/a | n/a% | n/a | n/a | | Senior | Kč 24,493 | n/a | n/a% | n/a | n/a | | Executive | Kč 41,564 | n/a | n/a% | n/a | n/a | Social contributions and local levies are not included. ## Five-year salary outlook Outlook: Growing. Inflation assumption: 3.0%/year. Real growth: 10.0%/year. | Year | P25 | Base (P50) | P75 | Nominal change vs today | | --- | ---: | ---: | ---: | ---: | | 2027 | Kč 15.7K | Kč 16.8K | Kč 17.8K | 13.0% | | 2029 | Kč 19.9K | Kč 21.4K | Kč 23K | 44.3% | | 2031 | Kč 25.2K | Kč 27.3K | Kč 29.5K | 84.2% | ## What moves this number - **Inflation (CPI)** (steady): 3.0% annual price growth - **Wage growth** (up): 3.0% nominal wage trend - **Role demand trend** (up): 10.0% annual role demand - **Hiring demand** (steady): Demand index 50/100 - **Automation exposure** (steady): 20% exposure - **Real wage growth** (up): 10.0% after 3.0% inflation - **Scenario growth** (up): 13.0% modelled nominal growth ## Frequently asked questions ### What is the average salary of a Machine Learning Engineer in Czechia? SpotSalary models a median annual salary of Kč 14.8K for a Machine Learning Engineer in Czechia, or about Kč 1,237 per month before tax. The middle 50% of the estimate ranges from Kč 11.9K to Kč 17.2K, with a full P10–P90 range of Kč 9.5K to Kč 20.6K. This is a modelled estimate, not a job offer. ### How much does an entry-level Machine Learning Engineer earn in Czechia? The entry-level band for a Machine Learning Engineer in Czechia centres on Kč 9.6K per year (P25–P75: Kč 7.7K–Kč 11.2K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities. ### How much does a senior or executive Machine Learning Engineer earn in Czechia? The executive band for a Machine Learning Engineer in Czechia has a median of Kč 41.6K per year and a P75 of Kč 48.2K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level. ### What is the salary outlook for a Machine Learning Engineer in Czechia? The outlook is growing. In the base scenario, median pay reaches Kč 27.3K by 2031, about 84.2% above today before inflation and 10.0% per year in real terms after 3.0% inflation. Scenario bands widen over time and are not guarantees. ### How does SpotSalary calculate these salary estimates? Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 50% confidence. ## Methodology and sources SpotSalary anchors estimates to external market signals (GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure) and synthesises them with AI. Deterministic validation rejects implausible outputs. Figures are modelled estimates for guidance only, not offers. 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